Mathias Lechner is a CTO and co-founder of Liquid AI with a decade of experience translating cutting-edge research into production-grade machine learning systems. He combines academic depth—PhD in Computer Science and roles as MIT research affiliate and former postdoc—with hands-on engineering, evidenced by his open-source implementations of neural circuit policies (NCP/LTC/CfC) in PyTorch and TensorFlow. Based in San Francisco, he leads product and platform decisions while remaining active in research on irregularly sampled time-series and recurrent state inference. His background across IST Austria and TU Wien gives him a strong foundation in both theory and systems engineering, and his work often bridges prototype research code and deployable ML infrastructure.
10 years of coding experience
2 years of employment as a software developer
Vienna University of Technology
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Institute of Science and Technology Austria
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
Role in this project:
ML Engineer
Contributions:2 releases, 1 review, 87 commits in 2 years 5 months
Contributions summary:Mathias implemented and refined various aspects of a PyTorch and TensorFlow-based model for neural circuit policies. Their contributions included example implementations and fixes for irregularly sampled time-series data handling within the LTC cell, as well as the addition of experimental PyTorch bindings. The user also developed a tutorial example demonstrating the inference of hidden states within the recurrent neural network.
Contributions:12 commits, 9 pushes, 7 comments in 1 year 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Mathias Lechner - Chief Technology Officer at Liquid AI